Engineering Blog

Introduction

B Tech computer science is currently one of the most popular technical curricula. The introduction of digitization, which is rapidly taking over the current market, is the cause for the rising popularity and competitiveness of this specialization. This course, in addition to being in great demand, has the potential to open up future opportunities in areas like artificial intelligence, data science, quantum computing, cloud computing, the internet of things, robots, machine learning, progressive web applications, serverless computing, blockchain technology, big data, network security, augmented reality, virtual reality, mixed reality, and more.

Course Structure

The first year of the program is designed to introduce students to the principles of all engineering disciplines. The study then moves on to more advanced and specialized subdomains of computer science, which are spread out over eight semesters and four years. Some institutions, such as the Lloyd Institute of Engineering and Technology , have created specific programs, such as the co-op program, to provide industry-integrated training. This way, students get a foundation on which later-stage projects can be built while still being aware that something quite complex must also occur at the end of each semester or following its completion. Other activities to supplement classroom learning comprise periodic industrial trips, mentoring programs, volunteer opportunities, and a variety of other activities. This curriculum covers industry standard skills such as web development, coding, programming, and much more. The course has a strong focus on hands-on learning and experiential learning, allowing students to engage with and establish their competence in computer technology, which is critical to creativity and innovation.

Computer Science Engineering Syllabus

The computer science curriculum is generally the same throughout all colleges, with a few minor adjustments and enhancements here and there. Students can choose from a variety of optional courses based on their interests. There are core subjects and optional subjects. Each elective offers a wide choice of topics that address all of the major concepts that surround it. The B-tech syllabus also includes mini-projects, field projects, and internships that are deemed similar to the related courses in terms of credit. The theoretical lectures incorporate lab sessions to offer students with practical experience. The semester-by-semester list of courses and papers studied in the B-Tech CSE programme is shown below. These articles also cover a wide range of multidimensional issues, from basic notions to more complicated ones. While the majority of the topics are related, the main distinction is the breadth of coverage in these papers.

B tech syllabus Semester 1 and Semester 2

Sno. Subjects Course Topics
1 Engineering Physics/ Engineering Chemistry Electromagnetic Field Theory, Wave Optics, Fibre Optics, Relativistic Mechanics, Quantum Mechanics, Fundamentals of Organic/Inorganic Chemistry, Electrochemistry and Chemical Kinetics, Analytical Techniques in Chemistry, Applied Chemistry
2 Mathematics 1 and 2 Probability and Statistics, Linear Algebra, Differential and Integral Calculus, Vector Calculus, Complex Analysis
3 Emerging Domain In Electronics Engineering / Basic Electrical Engineering DC/AC Circuits, Steady State Analysis, Transformers, Electrical Machines DC Machines, Three Phase Induction Motor and Synchronous Machines Semiconductor Diode, BPT, Operational Amplifiers, Introduction Of IoT System, Digital Electronics, Integrated Circuit Technology, Fundamentals Of Communication
4 Fundamentals Of Mechanical Engineering And Mechatronics / Programming For Problem Solving Introduction To Solid Mechanics, IC Engines, Measurement And Control System, Mechatronics, Fluid Mechanics And Applications Algorithm and Programming Basics, Arithmetic Expression, Iterations and Functions, Arrays And Basic Algorithms, Pointers And File Handling
5 AI For Engineering/ Emerging Technology For Engineering Algorithms, Artificial Neural Networks, Natural Language Processing IoT Digital Manufacturing, Future Trends, Blockchain, Cloud Computing,
6 Labs All Theoretical Courses

Semester 3

Sno. Subjects Course Topics
1 Data Structure Introduction, Basic Data Structures, Arrays, Stacks, Linked Lists, Queues, Graphs and Trees
2 Computer Organization And Architecture Introduction, Control Unit, Arithmetic And Logic Unit, Memory Unit, Input/Output
3 Discrete Structures And Theory Of Logic Functions, Set Theory, Natural Numbers, Propositional Logic, Predicate Logic, Algebraic Structures, Lattices, Graphs, Trees, Combinatorics
4 Labs Data Structures Using C Lab, Discrete Structure And Logic Lab, Computer Organization Lab
5 Mini Project Or Internship Assessment --

Semester 4

Sno. Subjects Course Topics
1 Operating Systems Basics: Operating System Functionalities, Process Management, Memory Management, File Systems, Disk Scheduling
2 Theory Of Automata And Formal Languages Introduction, Regular Expressions And Languages, Regular And Non-Regular Grammars, DFAs and NFAs, Context free languages, Pushdown automata (PDAs), Turing machines, Recursively enumerable and recursive languages, Undecidability, Intractability
3 Microprocessor Introduction to Microcomputer and Microprocessor, Addressing Modes, Assembly Language programming, Timing diagrams, Interrupts, Programmable Interfaces
4 Labs Microprocessor Lab, Python Language Programming Lab , Operating Systems Lab

Semester 5

Sno. Subjects Course Topics
1 Database Management Systems Introduction, Database design and ER Model, Relational Schemas, Atomic domain and Normalization, Data Storage and Indexes, Transaction management and Concurrency control, Computational capabilities
2 Compiler Design Introduction, Lexical Analysis, Syntax Analysis, Types of Parsers, Syntax Directed Translation, Application of SDT and SDT schemes, Intermediate Code Generation, Code generation and Optimization
3 Design And Analysis Of Algorithm Introduction, Advanced Data Structures, Advanced Design and Analysis Techniques, Dynamic Programming, Algebraic Computation
4 Department Elective To Choose From Object-Oriented System Design, Data Analytics, Computer Graphics, Web Designing
5 Department Elective To Choose From Algorithm and Soft Computing, Human Capital Interface, Machine Learning Techniques, Augmented And Virtual Reality
6 Labs Compiler Design Lab, DMS Lab, Design And Analysis Of Algorithm Lab

Semester 6

Sno. Subjects Course Topics
1 Software Engineering Introduction, Software Requirement Specifications, Requirement Analysis, Software Design, Design strategies and methodologies, Software Testing - Unit testing, Integration and system testing, Alpha & beta testing, Software Maintenance, Maintenance models, Documentation
2 Web Technology Introduction, Web Page Designing, Scripting, Java Database Connectivity, Enterprise Java Bean, Servlets and JSP
3 Computer Network Introduction, Physical Layer, Errors in transmission, Local Area Network Technology, Error detection, Network Layer, Internet Protocol, Transport Layer, UDP and TCP, Application Layer
4 Department Elective To Choose From Digital Image Processing, Big Data, Data Compression, Real-Time Systems
5 Lab Computer Networks Lab, Software Engineering Lab, Web Technology Lab

Semester 7

Sno. Subjects Course Topics
1 Elective To Choose From Human-Computer Interface, Embedded Systems, High-Performance Computing, Application Of Soft Computing
2 Elective To Choose From Agile Software Development, Cloud Computing, Augmented and Virtual Reality, Blockchain Architecture Design
3 Distributed System Characterization Of Distributed Systems, Distributed Mutual Exclusion, Failure Recovery In Distributed Systems, Agreement Protocol, Transactions and Concurrency Control
4 Artificial Intelligence Introduction, Search Strategies, Problem spaces, Knowledge Representation And Reasoning, Totally-ordered and partially-ordered Planning, Planning, Natural Language Processing, Language models, Agents and Agent Architectures
5 Industrial Training --

Semester 8

Sno. Subjects Course Topics
1 Elective To Choose From Game Programming, Machine Learning, Parallel And Distributed Computing, Image Processing
2 Elective To Choose From Quantum Computing, Deep Learning, Speech Natural Language Processing, Data Compression
3 Seminar --
4 Project --

Conclusion

Computer Science Engineering is the course of the future. Computers have changed the way we think about and utilize technology, and there is no better moment than now to take advantage of this disruptive force. We have covered all you need to know about the BTech syllabus and topics in the CSE degree in this article. The employment market for BTech CSE graduates is rapidly expanding, and the professionalism and abilities inherent in this engineering specialty may provide students with a new degree of market value, prominence, and an unrivaled set of talents.